Master Business Intelligence Tools for Researchers: From Data to Insights in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Business Intelligence Tools for Researchers: From Data to Insights, from foundations to a certified capstone project.
Foundations
โข Dashboards for monitoring against ad hoc analysis for answering a question
โข Tableau, Power BI and Looker Studio compared on cost and licensing
โข When a BI tool is the wrong choice and a script is better
Data
โข Connecting sources, extracts against live connections and refresh scheduling
โข Tidy data, star schemas and why one wide spreadsheet breaks down
โข Power Query and joins, with the fan and chasm traps that inflate totals
Calculation
โข Calculated fields, DAX measures and row against filter context
โข Aggregation errors: averaging an average, and totals that do not reconcile
โข Time intelligence for period comparison
Design
โข Chart selection matched to the question, and charts to avoid
โข Layout, hierarchy and the small number of numbers a dashboard can carry
โข Colour used for meaning, with accessible palettes
Delivery
โข Publishing, row-level security and controlling who sees what
โข Documenting definitions so two dashboards do not disagree
โข Version control, validation against source and retiring stale reports
e-Certificate and e-Marksheet issued on successful completion.